COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS

The study was designed to research and analyse the existing methods used in the industry and propose alternative solutions that would meet the growing project demand. One of the major findings of this paper shows that 65% of interviewed architects and urban designers reported a lack of data accuracy...

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Autor principal:	Tiana A. Plotnikova
Formato:	article
Lenguaje:	EN RU
Publicado:	Science and Innovation Center Publishing House 2021
Materias:	urban design data management architectural design planning application Construction industry HD9715-9717.5
Acceso en línea:	https://doaj.org/article/de39e6df35b244da8fd759b7775af242
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spelling	oai:doaj.org-article:de39e6df35b244da8fd759b7775af2422021-11-15T19:00:39ZCOMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS2328-13912227-930X10.12731/2227-930X-2021-11-2-52-64https://doaj.org/article/de39e6df35b244da8fd759b7775af2422021-06-01T00:00:00Zhttp://ijournal-as.com/jour/index.php/ijas/article/view/26https://doaj.org/toc/2328-1391https://doaj.org/toc/2227-930XThe study was designed to research and analyse the existing methods used in the industry and propose alternative solutions that would meet the growing project demand. One of the major findings of this paper shows that 65% of interviewed architects and urban designers reported a lack of data accuracy in their concept design solutions, as well as dissatisfaction with the segregated concept design process. Having identified key inefficiencies in pre-design and the schematic design stages of urban design, the study develops a multiplatform web application - a space planning tool that is capable of assisting with data informed design decisions in the early stages of large-scale urban design projects. The alternative solution allows for the execution of concept stage prototyping through UI cell modification by integrating data and generating spatial solutions based on the adjacency requirements. Purpose: the purpose of this study is to understand, improve and eliminate inefficiencies in the early stages of the urban design process. Methodology: this study will first review existing inefficiencies of the architecture and urban design industry using 2 researched methods: non-participant observations and surveys. Non-participant observations were continuous and were carried out for a period of 9 months. The group that was studied involved 17 people that worked on the early-stage design stage of large-scale architecture and urban design projects. In addition to that, a survey was carried out to examine the identified inefficiencies further and to confirm the hypothesis. The survey involved 370 industry professionals from over 15 countries. Based on the developed understanding of project delivery inefficiencies, a classification will be developed to categorize the existing software. Finally, this study will conduct a series of experiments to develop a technical solution to meet current industry demands. Results: identification of key pre-design and the schematic design inefficiencies, development of a multiplatform web application. Practical implications: the application is being tested and used in the industry of architecture, urban and spatial design, it has the potential to save companies time and financial resources.Tiana A. PlotnikovaScience and Innovation Center Publishing Housearticleurban designdata managementarchitectural designplanningapplicationConstruction industryHD9715-9717.5ENRUInternational Journal of Advanced Studies, Vol 11, Iss 2, Pp 52-64 (2021)
institution	DOAJ
collection	DOAJ
language	EN RU
topic	urban design data management architectural design planning application Construction industry HD9715-9717.5
spellingShingle	urban design data management architectural design planning application Construction industry HD9715-9717.5 Tiana A. Plotnikova COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS
description	The study was designed to research and analyse the existing methods used in the industry and propose alternative solutions that would meet the growing project demand. One of the major findings of this paper shows that 65% of interviewed architects and urban designers reported a lack of data accuracy in their concept design solutions, as well as dissatisfaction with the segregated concept design process. Having identified key inefficiencies in pre-design and the schematic design stages of urban design, the study develops a multiplatform web application - a space planning tool that is capable of assisting with data informed design decisions in the early stages of large-scale urban design projects. The alternative solution allows for the execution of concept stage prototyping through UI cell modification by integrating data and generating spatial solutions based on the adjacency requirements. Purpose: the purpose of this study is to understand, improve and eliminate inefficiencies in the early stages of the urban design process. Methodology: this study will first review existing inefficiencies of the architecture and urban design industry using 2 researched methods: non-participant observations and surveys. Non-participant observations were continuous and were carried out for a period of 9 months. The group that was studied involved 17 people that worked on the early-stage design stage of large-scale architecture and urban design projects. In addition to that, a survey was carried out to examine the identified inefficiencies further and to confirm the hypothesis. The survey involved 370 industry professionals from over 15 countries. Based on the developed understanding of project delivery inefficiencies, a classification will be developed to categorize the existing software. Finally, this study will conduct a series of experiments to develop a technical solution to meet current industry demands. Results: identification of key pre-design and the schematic design inefficiencies, development of a multiplatform web application. Practical implications: the application is being tested and used in the industry of architecture, urban and spatial design, it has the potential to save companies time and financial resources.
format	article
author	Tiana A. Plotnikova
author_facet	Tiana A. Plotnikova
author_sort	Tiana A. Plotnikova
title	COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS
title_short	COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS
title_full	COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS
title_fullStr	COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS
title_full_unstemmed	COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS
title_sort	computer aided schematic design: how to manage large data in the early stages of urban design projects
publisher	Science and Innovation Center Publishing House
publishDate	2021
url	https://doaj.org/article/de39e6df35b244da8fd759b7775af242
work_keys_str_mv	AT tianaaplotnikova computeraidedschematicdesignhowtomanagelargedataintheearlystagesofurbandesignprojects
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COMPUTER AIDED SCHEMATIC DESIGN: HOW TO MANAGE LARGE DATA IN THE EARLY STAGES OF URBAN DESIGN PROJECTS

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